@@ -90,8 +90,8 @@ before_treatment = [145, 142, 138, 150, 155, 148, 152, 160]
9090after_treatment = [140 , 138 , 135 , 145 , 148 , 142 , 147 , 152 ]
9191
9292w_stat, p_value, stats = wilcoxon_signed_rank_test(
93- before_treatment,
94- after_treatment,
93+ before_treatment,
94+ after_treatment,
9595 alternative = " greater" # one-sided: treatment reduces BP
9696)
9797
@@ -101,7 +101,7 @@ print(f"Effect size: {stats['effect_size']:.3f}")
101101
102102# Visualize results
103103plot_wilcoxon_results(
104- before_treatment,
104+ before_treatment,
105105 after_treatment,
106106 (" Before Treatment" , " After Treatment" ),
107107 " Blood Pressure Reduction Study"
@@ -112,7 +112,7 @@ treatment_group = [85, 88, 90, 92, 95, 98, 100]
112112control_group = [78 , 80 , 82 , 85 , 87 , 89 , 91 ]
113113
114114u_stat, p_value, stats = mann_whitney_u_test(
115- treatment_group,
115+ treatment_group,
116116 control_group,
117117 alternative = " greater" # treatment > control
118118)
@@ -180,7 +180,7 @@ else:
180180
181181### P-value Interpretation
182182- ** p < 0.001** : Very strong evidence against null hypothesis
183- - ** p < 0.01** : Strong evidence against null hypothesis
183+ - ** p < 0.01** : Strong evidence against null hypothesis
184184- ** p < 0.05** : Moderate evidence against null hypothesis
185185- ** p ≥ 0.05** : Insufficient evidence to reject null hypothesis
186186
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